Compare: Your cloud's retrieval, or knowledge any agent can read

ContextNest vs AWS Context

Status, checked October 2026: AWS Context was announced June 17, 2026 as a preview, with no date or price. The accelerator was released July 31, 2026.

Their products are infrastructure for engineers to assemble on their cloud. ContextNest is the finished, governed brain your whole business uses, with engineers right in it through the CLI, MCP and open source.

What it is

AWS Context and the Context Ontology Accelerator

AWS Context maps how your data relates so agents can query tables correctly. ContextNest governs the documents and decisions agents act on. Most enterprises will want both.

ContextNest is approved knowledge that any agent, on any cloud, can read.

Sources

Choose AWS Context when agents need to query structured data correctly across AWS data stores.

Where AWS Context wins

Structured data across AWS stores
Agents join and query tables correctly across many AWS data stores.
Identity-aware traversal
Traversal respects IAM and Lake Formation permissions.
Open ontology standards
The accelerator keeps formal ontologies in open W3C standards.

Where AWS Context strains

Each one shows up when the same knowledge has to serve many people, many agents and more than one model.

Documents are out of scope
It governs tables, catalog metadata and glossary terms. Policies, playbooks and decisions written in documents sit outside it.
Built inside AWS
Agents elsewhere reach it through its APIs and MCP tools.
Not yet available
As of October 2026, AWS Context is announced and not yet available, with no date or price.

Why teams pick us

Why teams pick ContextNest over AWS Context

Why we built ContextNest →

Runs anywhere. Same nest.: Start with plain files on a laptop with the open-source CLI, self-host the server in Docker, or let us host it. Push the same nest from one to the next, with no migration.
No infrastructure to stand up: No graph database, no vector cluster, no data platform, no ontology pipeline. It starts as plain files, and hosted is free to start.
A product people open every day: A Notion-style wiki editor, approvals, version history and compare, a read log, and Hootie chat built into the nest. PromptOwl agents run on top.
Agents that keep it whole: Capture, curator and retriever agents ship in the ContextNest plugin for Claude Code: they keep what's worth keeping, make a correction land everywhere, and answer with citations.
Governed and enterprise-ready: Turn on review and a named owner approves before AI may use it, every version is kept, and every read is recorded. OIDC single sign-on with Entra ID, Okta or Google Workspace comes with Enterprise.
Open where it counts: The CLI, engine and MCP server are open source (AGPL-3.0), with an open spec and free starter vaults. It all runs on a laptop.

Side by side

ContextNest and AWS Context, on the questions that decide it.

The question	AWS Context	ContextNest
Who it's built forWho is the product made for?	Engineering teams assembling infrastructure on AWS.	The whole business: leaders, teams, engineers and their agents.
What it governsWhich kind of knowledge does it govern for agents?	PartlyStructured data relationships: tables, catalog metadata, business rules and glossary terms from S3, Redshift, RDS, DynamoDB and Glue.	YesDocuments, policies, decisions and playbooks: the knowledge agents act on.
Native to what you already runIs it already part of the cloud, tenant or platform you've standardized on?	YesNative to AWS: IAM, Lake Formation and your AWS data stores.	NoA new vendor in your stack. It connects to your platforms over MCP and APIs.
Tables, metrics and data relationshipsDoes it model structured data for agents to query?	YesMaps tables, catalog metadata and business rules across AWS data stores.	NoDocuments and decisions, not table or metric modeling. Use it next to your data platform.
Multi-hop relationship reasoningCan agents follow relationships across many entities?	YesKnowledge-graph traversal across your data relationships.	PartlyGraph-aware selectors follow links between documents (ctx query --hops). Not a graph database.
Search across your other appsDoes it search across the apps your company already uses?	PartlyAgentic search over AWS data, not across your other apps.	PartlyFull-text and selector search inside the nest, not across your other apps.
A person approves firstDoes a named owner approve knowledge before AI may use it?	YesStewards review inferred relationships and promote them to production. The accelerator has experts approve every ontology element.	YesPer-document steward approval. Governed nests serve only approved versions. Turned on per nest.
VersionedCan you rebuild what any version said, and keep old versions out of answers?	PartlyMetadata published as Apache Iceberg tables to S3 Tables. Document-level version history is not described.	YesEvery change is versioned and hash-chained. Rebuild any version (ctx reconstruct).
Record of readsIs there a record of who read what?	PartlyQueries inherit IAM and Lake Formation permissions. A per-read record for agents is not described.	YesEvery read is recorded: which person or API key, which document, and when.
What you provision firstWhat has to be set up before it works?	AWS Context is AWS-managed over S3, Redshift, RDS, DynamoDB and Glue. The accelerator runs on Neptune, OpenSearch Serverless and Bedrock.	Nothing to stand up: plain files on a laptop, one Docker container on your servers, or hosted, free to start.
Time to first governed answerHow long until an agent answers from approved knowledge?	PartlyAWS Context is not yet available. The accelerator works after Neptune, OpenSearch Serverless and Bedrock are deployed and experts approve the ontology.	YesMinutes: create a nest, add documents, approve them, connect an agent.
Ready-to-use UI for non-engineersCan people outside engineering read, edit, approve and ask, without a build?	PartlyA review step for stewards is described. No document wiki or chat for the business.	YesA Notion-style wiki editor, approvals, version history and compare, a read log, and Hootie chat built into the nest.
Runs local, self-hosted or hostedCan the same knowledge run on a laptop, on your servers and in the cloud?	NoAWS only.	YesThe same nest runs as local files (CLI), self-hosted (Docker) or hosted. Push from one to the next with no migration.
SSOSingle sign-on with your identity provider?	YesIAM and Lake Formation permissions.	PartlyEvery plan includes Google sign-in. OIDC single sign-on with Entra ID, Okta or Google Workspace comes with Enterprise.
Open source coreIs the core open source, and can you run it without a cloud bill?	PartlyThe accelerator is Apache 2.0, and it needs AWS managed services to run.	YesThe CLI, engine and MCP server are open source (AGPL-3.0), with an open spec (Apache 2.0). It runs on a laptop.
Server and UI licenseWhat license covers the server and interface your team uses?	Proprietary managed service. The accelerator is Apache 2.0.	The Community server, wiki and read log are commercial: free for up to 10 users, with a free license key.
Ships with agents that maintain the knowledgeDo agents help keep the knowledge consistent as it changes?	PartlyAI infers relationships and drafts the ontology. Stewards promote them.	YesCapture, curator and retriever agents ship in the ContextNest plugin for Claude Code, plus Hootie in the nest.
Works across models and toolsCan agents on any model, and outside this platform, read it?	YesAgentic search APIs and MCP tools, on AgentCore or other MCP frameworks.	YesClaude, Cursor and any MCP client.
Proven at very large scaleIs it proven in very large enterprise deployments?	YesAWS-scale managed services.	PartlyA newer product with a smaller production footprint than these platforms.
Available todayCan you buy and use it today?	NoAWS Context was announced June 17, 2026 as a preview, with no date or price. The accelerator was released July 31, 2026.	YesShipping today.

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See the cost comparison: what each stack costs to run →

Last reviewed October 2026. Based on each vendor's public website and documentation, and prices show the month we checked them. Products change quickly, so check the vendor's current documentation before you decide. See something out of date? Tell us and we'll fix it.Product names and logos are trademarks of their owners; used for identification only; no endorsement or affiliation implied.

Use both

How they work together

AWS Context for how your tables relate. ContextNest for the policies, playbooks and decisions that say what the business has approved. Both expose MCP, so one agent can use both.